equipment upgrade

Data-driven multivariate identification of gyrification patterns in a transdiagnostic patient cohort: A cluster analysis approach sciencedirect.com/science/articl…

Sliding windows analysis can undo the effects of preprocessing when applied to fMRI data biorxiv.org/content/10.110…

Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test–retest reliability of publicly available software packages onlinelibrary.wiley.com/doi/10.1002/hb…

ModelArray: An R package for statistical analysis of fixel-wise data sciencedirect.com/science/articl…

So excited to see this out!! XCP-D is a workhorse for fMRI post-processing!! Just BRAVO to all-stars @kahini_mehta @taylor_salo and our friends at MIDB led by the only Damien Fair. Check out the software (>3k downloads already!) and let us know!

Does your fMRI task involve response times? If so, you should check out our new paper in order to avoid condition difference effect estimates from being driven by RT differences. nature.com/articles/s4156…

Estefanía Zapata B Here it is thelancet.com/journals/lance…

We often align different single-cell datasets, but which data should(n't) be aligned? ⚡️Our new PNASNews paper proposes a rigorous test to tell when 2 datasets are (partly) alignable + a new alignment algo with min distortion pnas.org/doi/10.1073/pn… code github.com/rongstat/SMAI

I'm on the hunt for a #postdoctoral associate to join me at #uvm asap, to unravel the mysteries of how all those hours of binge-watching, video gaming, and social media scrolling are rewiring the brains of our youth. Know anyone who might be interested?#neuroimaging #neuroscience

Holmes Lab is thrilled to announce the long-awaited Transdiagnostic Connectome Project, TCP 🎉🚨🧠 Data on OpenNeuro (BIDS MRI, behavior) & preprinted on medRxiv! A true “team work makes the dream work” effort, huge thanks to co-1st authors Sidhant Chopra @ConnorLawhead, as well

ComBatLS: A location- and scale-preserving method for multi-site image harmonization biorxiv.org/content/10.110…

Spurious correlations in surface-based functional brain imaging biorxiv.org/content/10.110…

Rapid Changes in Risk Preferences Originate from Bayesian Inference on Parietal Magnitude Representations biorxiv.org/content/10.110…

Effects of connectivity hyperalignment (CHA) on estimated brain network properties: from coarse-scale to fine-scale biorxiv.org/content/10.110…

Slow down and be critical before using early warning signals in psychopathology Perspective by Marieke A. Helmich, Marieke J. Schreuder, Laura F. Bringmann, Harriëtte Riese, Evelien Snippe & Arnout C. Smit 🚨FREE🚨to access until October 25! go.nature.com/3Yj9ZVn

Lesson learned: NEVER TRUST any transfer offer from editors—they are mostly a formality. Spent months revising with a 13k+ word (37p) response letter. The result? A desk rejection without explanation. On the bright side, we saved $5,000 in APCs.

Spectral normative modeling of brain structure medrxiv.org/content/10.110…

Unintended bias in the pursuit of collinearity solutions in fMRI analysis biorxiv.org/content/10.110…

Do you want to use "Craving" as an outcome measure in a trial? Are you interested to know what are the options you have? This new systematic review on registered trials might be interesting: onlinelibrary.wiley.com/doi/10.1111/ad…